rlx-pkg 0.2.14

RLX package format (.rlxp) — flat hybrid mmap packs, optional graph, ZIP/dir
Documentation 
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// RLX — versatile ML compiler + runtime.
// Copyright (C) 2026 Eugene Hauptmann, Nataliya Kosmyna.
// SPDX-License-Identifier: MIT OR Apache-2.0

//! Import PyTorch `torch.save` checkpoints (`.pt` / `.pth` / `pytorch_model.bin`)
//! into an `.rlxp` package.

use crate::tier::StorageTier;
use crate::write::{ContainerKind, PackedWeight, WriteOptions, write_package};
use anyhow::{Context, Result};
use rlx_ir::{DType, Graph, Shape};
use rlx_nemo::PtModel;
use std::path::Path;

/// Options for [`pt_to_rlxp`].
#[derive(Debug, Clone)]
pub struct PtImportOptions {
    pub container: ContainerKind,
    pub include_graph: bool,
    pub compress_sidecars: bool,
    pub auto_tier: bool,
}

impl Default for PtImportOptions {
    fn default() -> Self {
        Self {
            container: ContainerKind::Flat,
            include_graph: false,
            compress_sidecars: true,
            auto_tier: true,
        }
    }
}

/// Convert a PyTorch checkpoint → `.rlxp` (dense f32 weights).
pub fn pt_to_rlxp(
    pt_path: impl AsRef<Path>,
    out: impl AsRef<Path>,
    opts: &PtImportOptions,
) -> Result<()> {
    let pt_path = pt_path.as_ref();
    let m = PtModel::open(pt_path).with_context(|| format!("open pt {}", pt_path.display()))?;

    let mut weights = Vec::new();
    for name in m.names() {
        let t = m.tensor(&name)?;
        let mut bytes = Vec::with_capacity(t.data.len() * 4);
        for x in &t.data {
            bytes.extend_from_slice(&x.to_le_bytes());
        }
        weights.push(PackedWeight {
            name,
            shape: t.shape,
            scheme: "f32".into(),
            layout: "row_major".into(),
            data: bytes,
            rank: None,
            tier: StorageTier::Hot,
        });
    }

    let wopts = WriteOptions {
        name: pt_path
            .file_stem()
            .and_then(|s| s.to_str())
            .unwrap_or("pt")
            .into(),
        producer: Some("rlx-pkg/pt_import".into()),
        container: opts.container,
        compress_sidecars: opts.compress_sidecars,
        include_graph: opts.include_graph,
        write_checksums: true,
        ..WriteOptions::default()
    };

    if opts.auto_tier {
        crate::auto_tier::apply_auto_tier(&mut weights, &Default::default());
    }

    let graph = if opts.include_graph {
        let mut g = Graph::new(&wopts.name);
        let s = Shape::new(&[1], DType::F32);
        let x = g.input("x", s);
        g.set_outputs(vec![x]);
        g
    } else {
        Graph::new(&wopts.name)
    };

    write_package(out.as_ref(), &graph, &weights, &wopts)
        .with_context(|| format!("write {}", out.as_ref().display()))?;
    Ok(())
}